Is span a subset in ##\mathbb{R}^{n}##?

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In summary, the question is asking if the span of a set of vectors in ##\mathbb{R}^{n}## is necessarily a subspace of ##\mathbb{R}^{n}##. The span is defined as the set of all linear combinations of the given vectors, and for a set to be a subspace, it must include the zero vector, be closed under addition, and closed under scalar multiplication. The answer to the question is yes, the span is always a subspace of ##\mathbb{R}^{n}## because it satisfies all three conditions.
  • #1
yango_17
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Homework Statement


Consider the vectors ##\vec{v_{1}},\vec{v_{2}},...,\vec{v_{m}}## in ##\mathbb{R}^{n}##. Is span ##(\vec{v_{1}},...,\vec{v_{m}})## necessarily a subspace of ##\mathbb{R}^{n}##? Justify your answer.

Homework Equations

The Attempt at a Solution


I understand the three conditions required for a subset to be a subspace (includes zero vector, closed under addition, closed under scalar multiplication), but I am not sure how to go about testing these properties with the span. Any help would be appreciated. Thanks.
 
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  • #2
yango_17 said:

Homework Statement


Consider the vectors ##\vec{v_{1}},\vec{v_{2}},...,\vec{v_{m}}## in ##\mathbb{R}^{n}##. Is span ##(\vec{v_{1}},...,\vec{v_{m}})## necessarily a subspace of ##\mathbb{R}^{n}##? Justify your answer.

Homework Equations

The Attempt at a Solution


I understand the three conditions required for a subset to be a subspace (includes zero vector, closed under addition, closed under scalar multiplication), but I am not sure how to go about testing these properties with the span. Any help would be appreciated. Thanks.
What's another way to write ##span(\vec{v_{1}},...,\vec{v_{m}})##? How do you know whether a given vector is a member of this set?
 
  • #3
You can rewrite span as the image of a matrix, since the image of a matrix is the span of its columns. Since image is a subspace, then does it follow that span is a subspace?
 
  • #4
yango_17 said:
You can rewrite span as the image of a matrix
There's no need at all to use matrices. How does your book define the term "span"?
yango_17 said:
, since the image of a matrix is the span of its columns. Since image is a subspace, then does it follow that span is a subspace?
 
  • #5
Span: Consider the vectors ##\vec{v_{1}},...,\vec{v_{m}}## in ##\mathbb{R}^{n}##. The set of all linear combinations ##c_{1}\vec{v_{1}}+...+c_{m}\vec{v_{m}}## of the vectors ##\vec{v_{1}},...,\vec{v_{m}}## is called their span:
##span(\vec{v_{1}},...,\vec{v_{m}})=\left \{ c_{1}\vec{v_{1}}+...+c_{m}\vec{v_{m}}:c_{1},...,c_{m} \right \}##
 
  • #6
yango_17 said:
Span: Consider the vectors ##\vec{v_{1}},...,\vec{v_{m}}## in ##\mathbb{R}^{n}##. The set of all linear combinations ##c_{1}\vec{v_{1}}+...+c_{m}\vec{v_{m}}## of the vectors ##\vec{v_{1}},...,\vec{v_{m}}## is called their span:
##span(\vec{v_{1}},...,\vec{v_{m}})=\left \{ c_{1}\vec{v_{1}}+...+c_{m}\vec{v_{m}}:c_{1},...,c_{m} \right \}##

OK, so, if ##\vec{w}_1## and ##\vec{w}_2## are in the span, is ##\vec{w}_1 + \vec{w}_2## also in the span? If ##c## is a constant, is ##c \, \vec{w}_1## in the span? Is the vector ##\vec{0}## in the span?
 
  • #7
yango_17 said:
Span: Consider the vectors ##\vec{v_{1}},...,\vec{v_{m}}## in ##\mathbb{R}^{n}##. The set of all linear combinations ##c_{1}\vec{v_{1}}+...+c_{m}\vec{v_{m}}## of the vectors ##\vec{v_{1}},...,\vec{v_{m}}## is called their span:
##span(\vec{v_{1}},...,\vec{v_{m}})=\left \{ c_{1}\vec{v_{1}}+...+c_{m}\vec{v_{m}}:c_{1},...,c_{m} \right \}##
Presumably, you mean this:
##span(\vec{v_{1}},...,\vec{v_{m}})=\left \{ c_{1}\vec{v_{1}}+...+c_{m}\vec{v_{m}}:c_{1},...,c_{m} \in \mathbb{R} \right \}##
 

1. What is a subset in ##\mathbb{R}^{n}##?

A subset in ##\mathbb{R}^{n}## is a collection of elements that are all contained within a larger set, known as the "superset." In this case, the elements of the subset are all n-dimensional vectors, which can be thought of as points in n-dimensional space.

2. How does span relate to subsets in ##\mathbb{R}^{n}##?

Span is a concept used to describe the set of all possible linear combinations of a given set of vectors. In ##\mathbb{R}^{n}##, the span of a set of vectors is a subset that contains all possible combinations of those vectors.

3. Is span a proper subset in ##\mathbb{R}^{n}##?

It depends on the set of vectors being considered. In some cases, the span may be a proper subset (meaning it is a subset but not equal to the original set) while in other cases, the span may be equal to the original set.

4. How is span calculated in ##\mathbb{R}^{n}##?

The span of a set of vectors in ##\mathbb{R}^{n}## can be calculated by finding all possible linear combinations of those vectors. This can be done by performing row operations on the augmented matrix of the vectors and finding the pivot columns, which represent the vectors that span the set.

5. What is the significance of span in ##\mathbb{R}^{n}##?

The concept of span is important in linear algebra and other areas of mathematics because it allows us to describe the full range of possibilities within a given set of vectors. It also helps us understand the relationships between different vectors and their combinations, which can be used to solve systems of linear equations and other problems.

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